arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2501.03633astro-ph.HEastro-ph.SRnucl-th
收藏

质量不确定性对中子星并合中快中子俘获(r-)过程核合成的影响

The impact of mass uncertainties on the r-process nucleosynthesis in neutron star mergers

S. Martinet, S. Goriely

AI总结:

本研究探讨核质量预测中的模型与参数不确定性对中子星并合中r-过程核合成及抛射物成分的影响,发现两者显著影响重元素产生,核模型改进对降低预测不确定性至关重要。

摘要:

由于对核性质的了解不完整以及物质抛射的近似流体动力学建模,快中子俘获(r-)过程元素产额的理论预测存在很大不确定性。在确定抛射物成分和放射性衰变热时,不确定性的一个主要来源是缺乏中子辐照期间产生的奇异富中子核的核质量数据。我们研究了影响核质量预测的模型(系统性)和参数(统计性)不确定性,以及它们对r-过程核合成的影响,进而对中子星并合抛射物成分的影响。为了估计模型不确定性的影响,我们考虑了五个能准确描述已知质量的核质量模型。我们还使用了一种反向-正向蒙特卡洛方法来估计模型参数局部变化带来的不相关不确定性,在将其传播到未知的富中子核质量之前,先将其约束到实验已知的质量。然后,我们将这些质量不确定性应用于1.38-1.38 M⊙的中子星并合模型,考虑了广泛的抛射物轨迹。我们发现,不相关的参数不确定性导致抛射丰度的不确定性在A≃130时高达20%,在A=150到200之间为40%,在A≃140和A≃203附近出现峰值,导致偏差达到100-300%。虽然对于大多数核来说,相关的模型不确定性通常超过参数不确定性,但两者都对重元素的产生有显著影响。总体而言,核模型的改进对于减少r-过程预测的不确定性至关重要。相关的模型不确定性和参数不确定性的连贯确定对于r-过程核合成的敏感性分析至关重要。

英文摘要:

Theoretical predictions of element yields from the rapid neutron capture (r-) process are subject to large uncertainties due to incomplete knowledge of nuclear properties and approximative hydrodynamical modeling of matter ejection. A major source of uncertainty in determining ejecta composition and radioactive decay heat is the lack of nuclear mass data for exotic neutron-rich nuclei produced during neutron irradiation. We examine both model (systematic) and parameter (statistical) uncertainties affecting nuclear mass predictions and their impact on r-process nucleosynthesis, and consequently, the composition of neutron star merger ejecta. To estimate the effect of model uncertainties, we consider five nuclear mass models that accurately describe known masses. We also use a backward-forward Monte Carlo method to estimate uncorrelated uncertainties from local variations in model parameters, constraining them to experimentally known masses before propagating them to unknown masses of neutron-rich nuclei. These mass uncertainties are then applied to a 1.38-1.38 M$_{\odot}$ neutron star merger model, considering a wide range of ejecta trajectories. We find that uncorrelated parameter uncertainties lead to ejected abundance uncertainties of 20% up to A $\simeq$ 130, 40% between A=150 and 200, with peaks around A $\simeq$ 140 and A $\simeq$ 203, leading to deviations of 100-300%. While correlated model uncertainties generally exceed parameter uncertainties for most nuclei, both have a significant impact on heavy element production. Overall, improvements in nuclear models are essential to reducing uncertainties in r-process predictions. Both correlated model uncertainties and coherent determination of parameter uncertainties are crucial for sensitivity analysis in r-process nucleosynthesis.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑